دورية أكاديمية
أعرض في EDS

The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting Skin Temperatures in the Thoracic Region including Supraclavicular Brown Adipose Tissue.

التفاصيل البيبلوغرافية
العنوان: The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting Skin Temperatures in the Thoracic Region including Supraclavicular Brown Adipose Tissue.
المؤلفون: Sardjoe Mishre ASD; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands.; Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, the Netherlands., Straat ME; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands., Martinez-Tellez B; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands.; Department of Education, Faculty of Education Sciences and SPORT Research Group (CTS-1024), CERNEP Research Center, University of Almería, Almería, Spain., Mendez Gutierrez A; Department of Biochemistry and Molecular Biology II, 'José Mataix Verdú' Institute of Nutrition and Food Technology (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18016, Granada, Spain.; CIBER Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Biohealth Research Institute in Granada (Ibs. GRANADA), 28029, Madrid, Spain., Kooijman S; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands., Boon MR; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands., Dzyubachyk O; Department of Radiology, Division of Image Processing (LKEB), Leiden University Medical Center, Leiden, The Netherlands.; Department of Cell and Chemical Biology, Section Electron Microscopy, Leiden University Medical Center, Leiden, The Netherlands., Webb A; Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, the Netherlands., Rensen PCN; Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands., Kan HE; Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, the Netherlands. H.E.Kan@lumc.nl.
المصدر: Journal of medical systems [J Med Syst] 2022 Nov 02; Vol. 46 (12), pp. 89. Date of Electronic Publication: 2022 Nov 02.
نوع المنشور: Clinical Trial; Journal Article
اللغة: English
بيانات الدورية: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE
أسماء مطبوعة: Publication: 1999- : New York, NY : Kluwer Academic/Plenum Publishers
Original Publication: New York, Plenum Press.
مواضيع طبية MeSH: Adipose Tissue, Brown*/physiology , Skin Temperature*, Adolescent ; Adult ; Humans ; Young Adult ; Reproducibility of Results ; Thermography/methods ; Thorax
مستخلص: Infrared thermography (IRT) is widely used to assess skin temperature in response to physiological changes. Yet, it remains challenging to standardize skin temperature measurements over repeated datasets. We developed an open-access semi-automated segmentation tool (the IRT-toolbox) for measuring skin temperatures in the thoracic area to estimate supraclavicular brown adipose tissue (scBAT) activity, and compared it to manual segmentations. The IRT-toolbox, designed in Python, consisted of image pre-alignment and non-rigid image registration. The toolbox was tested using datasets of 10 individuals (BMI = 22.1 ± 2.1 kg/m 2 , age = 22.0 ± 3.7 years) who underwent two cooling procedures, yielding four images per individual. Regions of interest (ROIs) were delineated by two raters in the scBAT and deltoid areas on baseline images. The toolbox enabled direct transfer of baseline ROIs to the registered follow-up images. For comparison, both raters also manually drew ROIs in all follow-up images. Spatial ROI overlap between methods and raters was determined using the Dice coefficient. Mean bias and 95% limits of agreement in mean skin temperature between methods and raters were assessed using Bland-Altman analyses. ROI delineation time was four times faster with the IRT-toolbox (01:04 min) than with manual delineations (04:12 min). In both anatomical areas, there was a large variability in ROI placement between methods. Yet, relatively small skin temperature differences were found between methods (scBAT: 0.10 °C, 95%LoA[-0.13 to 0.33 °C] and deltoid: 0.05 °C, 95%LoA[-0.46 to 0.55 °C]). The variability in skin temperature between raters was comparable between methods. The IRT-toolbox enables faster ROI delineations, while maintaining inter-user reliability compared to manual delineations. (Trial registration number (ClinicalTrials.gov): NCT04406922, [May 29, 2020]).
(© 2022. The Author(s).)
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معلومات مُعتمدة: RR_C_2021_04 Ministerio de Universidades y la Unión Europea -NextGeneration EU; 2017T016 Dutch Heart Foundation; NVDO; Prof. dr. J. Terpstra Award Dutch Society for Diabetes Research; 2015.81.1808 Dutch Diabetes Foundation; CVON2014-02 ENERGISE The Netherlands Cardiovascular Research Initiative
فهرسة مساهمة: Keywords: BAT; Infrared thermography; Non-rigid image registration; Semi-automated analysis
سلسلة جزيئية: ClinicalTrials.gov NCT04406922
تواريخ الأحداث: Date Created: 20221102 Date Completed: 20221104 Latest Revision: 20230103
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC9626432
DOI: 10.1007/s10916-022-01871-7
PMID: 36319877
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-689X
DOI:10.1007/s10916-022-01871-7